Huawei offers the "Olympus Award" to promote basic technology research and ecosystem construction in the data industry

During the 2019 Global Data Infrastructure Forum, Zhou Yuefeng, Vice President of Huawei's IT Product Line and President of Intelligent Data and Storage, delivered a keynote speech entitled "Entering the Intelligent Era and Building Converged, Intelligent, and Open Data Infrastructure". He also publicly offered a reward for solving data infrastructure technical problems and set up the "Olympus Award" to reward global researchers who have made breakthrough contributions in the field of data infrastructure. At the same time, Huawei, together with industry partners, announced the establishment of the Big Data Industry Promotion Group and the Intelligent Edge Industry Promotion Group to jointly prosper the data industry ecosystem.

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Zhou Yuefeng, Vice President of Huawei IT Product Line and President of Intelligent Data and Storage, delivered a keynote speech

Zhou Yuefeng said: "We are entering an era of explosive growth in data volume. More and more companies have realized that data infrastructure is the key to successful intelligence. Huawei is willing to work with customers and partners to build a converged, intelligent, and open data infrastructure to help thousands of industries enter the intelligent era."

Based on the current situation, Huawei is building a converged, intelligent, and open data infrastructure for three major scenarios.

Data infrastructure includes data storage, data processing, data management system, data virtualization engine, etc., and has the three characteristics of integration, intelligence, and openness. At this forum, Huawei explained the three scenario-based solutions for data infrastructure based on Ascend and Kunpeng processors, as well as the automated data management system.

1. The OceanData solution for intelligent production and trading integrates database and storage deployment, and a set of architectures meets both reliability and scalability requirements, achieving multi-write and multi-active across data centers, and eliminating network and I/O bottlenecks through storage and computing collaboration and operator pushdown.

2. Intelligent data lake FusionData solution eliminates data silos caused by diverse applications and releases data value. It helps businesses make real-time analysis decisions by breaking down database, storage, and big data barriers.

3. Intelligent edge FusionCube 2.0 solution, the industry's first 5-in-1 full-stack integrated product that supports computing, storage, networking, security and AI, plug and play.

4. The full life cycle data management system DMS covers the four stages of planning, construction, maintenance and optimization of the full life cycle management of data infrastructure, improves automated management capabilities, and enables "automated driving" of data infrastructure.

Facing the future, we will join hands with the academic community to tackle tough problems and climb to the "Olympus"

In the intelligent era, data is the new means of production. Huawei advocates building end-to-end capabilities around data, including computing capabilities, storage capabilities, usage capabilities, and AI capabilities, to meet the growing data needs of all industries and make the value of each bit of data as large as possible and the cost per bit as optimal throughout its entire life cycle.

Huawei launches the "Olympus Prize" to offer a reward for solving data infrastructure technology challenges

Currently, data governance faces great challenges in terms of efficiency. Various data sources need to be manually converted and cleaned before they can be connected to the analysis system. Data analysis models require a large amount of manpower for manual classification and repeated tuning and iteration. Therefore, in the end-to-end data lifecycle process, how to achieve intelligent and automated various manual processes is a key challenge to improve data analysis efficiency. In addition, there are currently a variety of database architectures such as traditional databases, distributed databases, NoSQL, NewSQL, and different database products. Faced with traditional OLTP, OLAP scenarios, batch processing, real-time stream processing scenarios, as well as new IoT, blockchain and other scenarios, how to build an intelligent database system that can meet the business requirements and ecological interfaces of traditional data centers, and support the expansion capabilities in cloud scenarios, so that customers can meet both current production needs and future evolution and expansion needs, has become a major challenge in data processing.

Building an industrial technology ecosystem, especially breakthroughs in basic technology, requires the joint participation of all parties to promote the development of the entire industry. To this end, we have set two major challenges: one is to achieve full life cycle data governance for "autonomous driving"; the other is to build data storage with the ultimate cost-effectiveness per bit. We hope that the academic community will work together to tackle basic technical issues such as cross-regional distributed operating systems, 10,000-node artificial intelligence governance, 1,000-core heterogeneous computing power, new storage media, and brain-like intelligent data reduction to build a better data infrastructure.

Build an ecosystem and establish the Kunpeng Intelligent Data Alliance Big Data and Intelligent Edge Industry Promotion Group

Based on the data infrastructure industry, Huawei has joined hands with scientific research organizations, standard organizations, and industry partners to guide and formulate industry standards for storage, databases, big data, and intelligent edge, based on the "platform + ecosystem" strategy, in conjunction with industry regulators, industry research, and industry chain partners, to solve industry technical problems, accelerate talent training in the data infrastructure field, and help upstream and downstream partners in the industry chain achieve sustainable development. By expanding the entire data infrastructure industry, we will work with customers and partners to realize commercial value from the development of the entire industry.

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Kunpeng Intelligent Data Alliance Big Data Industry Promotion Group Establishment Ceremony

Establishment Ceremony of Kunpeng Intelligent Data Alliance Intelligent Edge Industry Promotion Group

At this conference, Huawei and industry partners established the Kunpeng Intelligent Data Industry Alliance Big Data Industry Promotion Group and Intelligent Edge Industry Promotion Group to conduct in-depth research and discussion on a series of issues related to technology development and application scenarios. We hope to use the Kunpeng industry ecosystem to become an influential engine for the intelligent data infrastructure industry in 2-3 years, promote continuous innovation in data infrastructure technology, and promote the development of the digital economy.